Optimizing combustion efficiency of a circulating fluidized boiler: A data mining approach
International Journal of Knowledge-based and Intelligent Engineering Systems - Selected papers from the KES2004 conference
Optimization of temporal processes: a model predictive control approach
IEEE Transactions on Evolutionary Computation - Special issue on computational finance and economics
Multiobjective optimization of temporal processes
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on game theory
Evolving team behaviors with specialization
Genetic Programming and Evolvable Machines
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An intelligent predictive controller is implemented to control a fossil fuel power unit. This controller is a non-model based system that uses a self-organized neuro-fuzzy identifier to predict the response of the plant in a future time interval. The control inputs are optimized in this prediction horizon by evolutionary programming (EP) to minimize the error of identifier outputs and reference set points. The identifier performs automatic rule generation and membership function tuning by genetic algorithm (GA) and error back-propagation methods, respectively. This intelligent system provides a predictive control of multi-input multi-output nonlinear systems with slow time variation.